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Running Multiple Coding Agents Requires Isolated Workspaces, Not Just Separate Chats

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Running multiple AI coding agents simultaneously on a shared machine creates hidden conflicts that have nothing to do with model quality. Agents can collide over shared ports, lockfiles, environment variables, caches, and databases even when their tasks appear independent. Git worktrees offer a useful starting point by giving each agent its own branch and working files, but they do not isolate processes, credentials, or network resources. Developers are advised to explicitly assign each concurrent task its own ports, dev servers, test databases, and output artifacts before execution begins. Without deliberate ownership boundaries and a managed merge queue, scaling from one agent to four turns unstated assumptions into race conditions and review failures.

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Running Multiple Coding Agents Requires Isolated Workspaces, Not Just Separate Chats · ShortSingh